Localtab |
---|
active | true |
---|
title | Data Access |
---|
| Data AccessData Type | Download all or Query/Filter | License |
---|
Images (DICOM, XX11.X 9 GB)
|
(Download requires NBIA Data Retriever) | |
Click the Versions tab for more info about data releases. Additional Resources for this DatasetThe National Cancer Institute (NCI) has developed a national repository of Patient-Derived Models (PDMs) comprised of patient-derived xenografts (PDXs), in vitro patient-derived tumor cell cultures (PDCs) and cancer associated fibroblasts (CAFs) as well as patient-derived organoids (PDOrg). These models serve as a resource for public-private partnerships and for academic drug discovery efforts. These PDMs are clinically-annotated with molecular information and made available in the Patient-Derived Model Repository. Data related to the specific subjects in this Collection can be found at: The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data. |
Localtab |
---|
title | Detailed Description |
---|
| Detailed DescriptionImage Statistics | Radiology Image Statistics |
---|
Modalities | MR, SR | Number of Patients | 177 | Number of Studies | 694 | Number of Series | 1213 | Number of Images | 19532 | Images Size (GB) | 11.9 |
In addition to images, this collection includes Raw Data Storage SOP Class instances with MR Modality, generated by a Philips MR scanner; this data is not useful to anyone without the proprietary software to interpret it. |
Localtab |
---|
title | Citations & Data Usage Policy |
---|
| Citations & Data Usage Policy Tcia limited license policy |
---|
Info |
---|
| DOI goes here. Create using Datacite with information from Collection Approval form |
Info |
---|
| Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC.https://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. - Kalen, J. D., Clunie, D. A., Liu, Y., Tatum, J. L., Jacobs, P. M., Kirby, J., Freymann, J. B., Wagner, U., Smith, K. E., Suloway, C., & Doroshow, J. H. (2021). Design and Implementation of the Pre-Clinical DICOM Standard in Multi-Cohort Murine Studies. Tomography (Ann Arbor, Mich.), 7(1), 1–9. https://doi.org/10.3390/tomography7010001
|
Localtab |
---|
| Version X (Current): Updated 2023/mm/ddData Type | Download all or Query/Filter | License |
---|
Images (DICOM, XX11.X 9 GB)
|
(Download requires the NBIA Data Retriever) | |
|
|